A cross-platform desktop app for batch downloading and converting images from web URLs (including WebP) to PNG format, featuring a modern Deep Blue Ocean themed GUI. Built with Python and Tkinter (with optional ttkthemes support).

• Batch Queue: Add multiple image URLs for batch processing.
• Clipboard Integration: Paste and validate URLs directly from your clipboard.
• Modern Dark Theme: Deep Blue Ocean palette for comfortable use (uses ttkthemes if available, falls back to standard Tkinter otherwise).
• Robust Error Handling: Graceful handling of invalid URLs, network errors, and unsupported image formats.
• Automatic Filename Generation: Smart naming for downloaded images, avoiding overwrites.
• Progress and Status Updates: Real-time feedback on download and conversion progress.
• Clear Queue and Fields: Easily clear the queue or status fields with dedicated buttons.
• Credits Display: Author credits shown in the GUI.

1. Clone or Download this repository to your local machine.
2. Install Dependencies:

   pip install -r requirements.txt
   

   • ttkthemes is optional. If not installed, the app will run with the default Tkinter look.
3. Run the Application:

   python main.py
   

1. Paste a Link: Copy an image URL (must start with http:// or https://), then click the "Paste" button to add it to the queue.
2. Queue Management: Add as many links as you want. Use "Clear Queue" to remove all links.
3. Convert & Save: Click "Convert & Save PNGs" to start downloading and converting all queued links. Images are saved to your Downloads folder.
4. Status Updates: Watch the status label for progress and error messages.
5. Clear Fields: Use the "Clear" button to reset the status field.

• requests
• Pillow
• ttkthemes (optional, for enhanced theming)

Install all dependencies with:

pip install -r requirements.txt

To build a standalone executable (Windows):

1. Ensure pyinstaller is installed:

   pip install pyinstaller
   

2. Run:

   pyinstaller main.spec
   

3. The executable will be in the dist/ folder.

Developer @DangerousPixel

A passionate developer focused on building robust, user-friendly desktop tools and automation scripts. Always striving for clean code, modern UI, and seamless user experience.

For any issues or feature requests, please open an issue on the repository.